100ms MCP Server for Cursor 9 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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"mcpServers": {
"100ms": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About 100ms MCP Server
Connect your 100ms account to any AI agent and manage your live video infrastructure through natural conversation.
Cursor's Agent mode turns 100ms into an in-editor superpower. Ask Cursor to generate code using live data from 100ms and it fetches, processes, and writes. all in a single agentic loop. 9 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Room Management — List all virtual rooms, retrieve deep technical metadata, and create new rooms with specific templates and descriptions
- Session Monitoring — Monitor active or completed video sessions in real-time and retrieve session history across your organization
- Participant Governance — List all peers (participants) currently in a session and retrieve their unique IDs and roles
- Peer Control — Remotely remove or kick participants from active sessions with custom reasons directly from your agent
- Recording Discovery — List and browse cloud recordings, filtered by room or status (completed, failed, or processing)
- Operational Insights — Quickly find unique room, session, and peer IDs required for automated video workflows
- Scalable Infrastructure — Verify your live video configurations and template settings through automated metadata retrieval
The 100ms MCP Server exposes 9 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect 100ms to Cursor via MCP
Follow these steps to integrate the 100ms MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using 100ms
Open Agent mode in chat and ask: "Using 100ms, help me...". 9 tools available
Why Use Cursor with the 100ms MCP Server
Cursor AI Code Editor provides unique advantages when paired with 100ms through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
100ms + Cursor Use Cases
Practical scenarios where Cursor combined with the 100ms MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
100ms MCP Tools for Cursor (9)
These 9 tools become available when you connect 100ms to Cursor via MCP:
create_room
Use this when the user asks to start or host a new meeting space. Create a new video room
get_room
Requires the unique room ID. Get the configuration and details of a specific video room
get_session
Get the details and metadata of a specific video session
list_peers
Requires the session ID. List all participants currently inside an active video session
list_recordings
Can optionally filter by room ID or the status of the recording. List cloud recordings of video rooms
list_rooms
Use this to find a room ID. List all video rooms in the 100ms account
list_sessions
You can filter by room ID or status. Use this to find who attended past meetings. List active or past video sessions
remove_peer
Requires the session ID and the peer ID. Kick or remove a specific participant from an active video session
update_room
Requires the room ID. Update the settings of an existing video room
Example Prompts for 100ms in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with 100ms immediately.
"List all my video rooms in 100ms."
"Are there any active sessions for the 'Town Hall' room right now?"
"Remove participant 'peer-123' from the session 'sess-abc' for 'violating community guidelines'."
Troubleshooting 100ms MCP Server with Cursor
Common issues when connecting 100ms to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
100ms + Cursor FAQ
Common questions about integrating 100ms MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect 100ms with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect 100ms to Cursor
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.
